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Abnormality of m6A mRNA Methylation Is Involved in Alzheimer’s Disease
Open accessAbstract
Alzheimer's disease (AD), the most common form of dementia, is highly prevalent in older adults. The main clinical feature is the progressive decline of memory function, which eventually leads to the decline of cognitive function. At present, the pathogenesis of AD is unclear. In the disease process, synaptic changes are the key. Recent studies have shown that the dysregulation of RNA methylation is related to many biological processes, including neurodevelopment and neurodegenerative diseases. N6-methyladenosine (m6A) is the most abundant modification in eukaryotic RNA. In this study, RNA m6A methylation was quantified in APP/PS1 transgenic mice, which is an AD mouse model, and C57BL/6 control mice, and data showed that m6A methylation was elevated in the cortex and the hippocampus of APP/PS1 transgenic mice. Next, the alterations of m6A RNA methylation in AD and in C57BL/6 mice were investigated using high-throughput sequencing. Genome-wide maps of m6A mRNA showed that the degrees of m6A methylation were higher in many genes and lower in others in AD mice. Interestingly, the expression of the m6A methyltransferase METTL3 was elevated and that of the m6A demethylase FTO was decreased in AD mice. The data were analyzed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, and pathways that might be related to synaptic or neuron development and growth were constructed. The related pathways and genes predicted the potential roles of the differentially expressed m6A methylation RNA in AD. Collectively, our findings demonstrate that the m6A methylation of RNA promotes the development of AD.
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“Interestingly, m6A does not appear to accumulate in models of Aβ amyloidosis, which accumulate aggregates extracellularly (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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“Total m6A levels were also reported in a previous manuscript examining m6A in an AD model utilizing over-expression of only APP, which is a model that exhibits Aβ accumulation without corresponding MAPT pathology (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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“Data from this manuscript suggest that the absence of MAPT pathology in this model produced a corresponding absence of m6A accumulation (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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Citations
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation
Liu, J., Yue, Y., Han, D., Wang, X., Fu, Y., Zhang, L., Jia, G., Yu, M., Lu, Z., Deng, X., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1432 · Cited by 3,433
Vu, L., Pickering, B. F., Cheng, Y., Zaccara, S., Nguyen, D. T. T., Minuesa, G., Chou, T., Chow, A., Saletore, Y., MacKay, M. J., et al. (2017) · Nature Medicine · doi:10.1038/nm.4416 · Cited by 1,249
Dynamic m6A mRNA methylation directs translational control of heat shock response
Zhou, J. L., Wan, J., Gao, X., Zhang, X., Jaffrey, S. R., & Qian, S. (2015) · Nature · doi:10.1038/nature15377 · Cited by 1,228
Zhao, X., Yang, Y., Sun, B.-F., Shi, Y. X., Yang, X., Xiao, W., Hao, Y.-J., Ping, X., Chen, Y., Wang, W., et al. (2014) · Cell Research · doi:10.1038/cr.2014.151 · Cited by 1,201
Neurotoxicity of Amyloid -Protein: Synaptic and Network Dysfunction
Mucke, L., & Selkoe, D. J. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006338 · Cited by 1,000
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Items 101–200 of 301
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Lv, Z., Xu, T., Li, R., Zheng, D., Li, Y., Li, W., Yang, Y. X., & Hao, Y. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.739201 · Cited by 23
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Zhang, X., Yang, S., Han, S. H., Sun, Y., Han, M., Zheng, X., Li, F., Yan, W., Wang, Y., & Bi, J. (2023) · Molecular Medicine Reports · doi:10.3892/mmr.2023.12942 · Cited by 21
Self-citationXie, L., Sheehy, R. N., Muneer, A., Xiong, Y., Wrobel, J. A., Zhang, F., Park, K., Velez, J., Liu, J., Luo, Y., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59128-z · Cited by 20
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Zhang, F., Ignatova, V. V., Ming, G., & Song, H. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02339-x · Cited by 19
Tassinari, V., Rosa, P. L., Guida, E., Colopi, A., Caratelli, S., Paolis, F. D., Gallo, A., Cenciarelli, C., Sconocchia, G., Dolci, S., et al. (2023) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2023.111807 · Cited by 19
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Zhang, R., Zhang, Y., Guo, F., Li, S., & Cui, H. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.820378 · Cited by 19
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Hashmi, M. A. T. S., Fatima, H., Ahmad, S., Rehman, A., & Safdar, F. (2024) · Ibrain · doi:10.1002/ibra.12183 · Cited by 18
Zhou, B., Li, J., Wu, A., Wang, X., Cheng, L., Yang, G., Gao, D., & Zhu, C. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1587986 · Cited by 18
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Suga, N., Ikeda, Y., Yoshikawa, S., Taniguchi, K., Sawamura, H., & Matsuda, S. (2023) · Neurology International · doi:10.3390/neurolint15030062 · Cited by 16
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Shi, W., Yang, F., Dai, R., Sun, Y., Chu, Y., Liao, S., & Hao, B. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.621374 · Cited by 16
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Popper, B., Scheidt, T., & Schieweck, R. (2021) · Essays in Biochemistry · doi:10.1042/ebc20210024 · Cited by 15
Jiang, L., Roberts, R., Wong, M., Zhang, L., Webber, C. J., Libera, J., Wang, Z., Kilci, A., Jenkins, M., Ortiz, A. R., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1372297 · Cited by 15
Biological functions of the m6A reader YTHDF2 and its role in central nervous system disorders
Song, L., Li, H., Yang, W., Yin, H., Wang, J., Guo, M., & Yang, Z. (2024) · Biochemical Pharmacology · doi:10.1016/j.bcp.2024.116576 · Cited by 15
Progress Toward a Multiomic Understanding of Traumatic Brain Injury: A Review
Kocheril, P. A., Moore, S. C., Lenz, K. D., Mukundan, H., & Lilley, L. M. (2022) · Biomarker Insights · doi:10.1177/11772719221105145 · Cited by 16
Zhao, W., Xu, Y., Zhu, J., Zhang, C., Zhou, W., & Wang, S. (2024) · Scientific Reports · doi:10.1038/s41598-023-50557-8 · Cited by 16
Self-citationDynamics of N6-methyladenosine modification during Alzheimer's disease development
Gao, S., Wang, Y., Li, X., Liang, Y., Jin, Z., Yang, B., Yuan, T., Tian, H., Peng, B., & Rao, Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26911 · Cited by 15
Self-citationLi, D., Huang, C., Liu, Z., Ai, S., & Wang, H. (2023) · Environmental Research · doi:10.1016/j.envres.2023.116717 · Cited by 14
Self-citationYan-xi, L., Xue, J., Ma, Y., Ye, K., Zhao, X., Ge, F., Zheng, F., Liu, L., Gao, X., Wang, D., et al. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-23-01872 · Cited by 16
Self-citationIGF2BP2 Regulates the Progression of Alzheimer's Disease Through m6A‐Mediated NLRP3 Inflammasome
Wu, J., Yang, H., Jinjin, Y., & Le, F. (2025) · Immunity Inflammation and Disease · doi:10.1002/iid3.70121 · Cited by 14
Roles of m6A modification in neurological diseases.
Zhang, Y. E., Zhang, S., Shi, M., Li, M., Zeng, J., & He, J. (2022) · PubMed Central · doi:10.11817/j.issn.1672-7347.2022.200990 · Cited by 14
Deng, J.-H., Liao, Y.-L., Chen, J.-H., Chen, A.-D., Wu, S., Huang, Y.-X., Qian, H.-T., Gao, F., Wu, G.-X., Chen, Y.-S., et al. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-06343-5 · Cited by 17
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Yang, H., Xuan, L., Wang, S., Luo, H., Duan, X., Guo, J., Cui, S., Xin, J., Hao, J., Li, X., et al. (2024) · Science China Life Sciences · doi:10.1007/s11427-023-2527-5 · Cited by 13
Neurodegenerative diseases: Epigenetic regulatory mechanisms and therapeutic potential
Men, J., Wang, X., Zhou, Y., Huang, Y., Zheng, Y., Wang, Y., Yang, S., Chen, N., Yan, N., & Duan, X. (2025) · Cellular Signalling · doi:10.1016/j.cellsig.2025.111715 · Cited by 16
Self-citationThe effects of N6-methyladenosine RNA methylation on the nervous system
Shao, N., Ye, T., Xuan, W.-T., Zhang, M., Chen, Q., Liu, J., Zhou, P., Song, H., & Cai, B. (2023) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-023-04691-6 · Cited by 14
An, S., Shi, J., Huang, J., Li, Z., Feng, M., & Cao, G. (2023) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-023-00812-z · Cited by 14
Li, Z., Song, Y., Wang, M., Shen, R., Qin, K., Zhang, Y., Jiang, T., & Chi, Y. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.905737 · Cited by 12
Cell type‐specific regulation of m6A modified RNAs in the agingDrosophilabrain
Perlegos, A. E., Byrns, C. N., & Bonini, N. M. (2024) · Aging Cell · doi:10.1111/acel.14076 · Cited by 12
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Xia, W., Liu, Y., Lu, J., Cheung, H., Meng, Q., & Huang, B. (2024) · Acta Biochimica et Biophysica Sinica · doi:10.3724/abbs.2024159 · Cited by 14
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Liu, H., Xie, Y., Wang, X., Abboud, M. I., Ma, C., Ge, W., & Schofield, C. J. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12733 · Cited by 14
Huang, G., Huang, X., & Jiang, J. (2024) · Methods · doi:10.1016/j.ymeth.2024.03.004 · Cited by 11
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Li, Y., Miao, P., Fang, L., Huang, J., Fan, L., Chen, Q., Zhang, Y., Feng, Y., & Gao, Y. P. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05760-w · Cited by 11
Lin, Y., Man, C., He, R. L., He, L., Huang, J., Xiang, S., Dai, Z., Wang, X., & Fan, Y. J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2021.784127 · Cited by 11
Zhao, Y. M., Dong, X., Chen, B., Zhang, Y., Meng, S., Guo, F., Guo, X., Zhu, J., Wang, H., Cui, H., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.934070 · Cited by 11
So, S. W., Nixon, J. P., Bernlohr, D., & Butterick, T. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043381 · Cited by 11
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Zhang, H., Yin, M., Huang, H., Zhao, G., & Lu, M. (2023) · Open Medicine · doi:10.1515/med-2023-0856 · Cited by 11
The Future of Epigenetics: Emerging Technologies and Clinical Applications
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Ni, P., Pan, K., & Zhao, B. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289068 · Cited by 10
Zhang, J., Tong, L., Liu, Y., Li, X., Wang, J., Lin, R., Zhou, Z., Chen, Y., Chen, Y., Liu, Y., et al. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.101199 · Cited by 10
Zhang, K., Zhang, F., & Wang, J. (2025) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-024-06073-x · Cited by 10
Peng, Q., Wang, S., Huang, S., Deng, Y., Li, Z., Liu, C., Hong, Y., Duan, R., Xue, X., & Ge, P. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.114150 · Cited by 10
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Zhao, X., Ma, C., Sun, Q., Huang, X., Qu, W., Chen, Y., Liu, Z., Bao, A., Sun, B., Yang, Y., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02984-4 · Cited by 10
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Ai, S., Li, D., Gu, X., Xu, Y., Wang, Y., Wang, H., & Chen, X.-T. (2023) · Food and Chemical Toxicology · doi:10.1016/j.fct.2023.113821 · Cited by 10
Self-citationAhmad, F., Sachdeva, P., Sachdeva, B., Singh, G., Soni, H., Tandon, S., Rafeeq, M. M., Alam, M. Z., Baeissa, H. M., & Khalid, M. (2022) · Molecular Biotechnology · doi:10.1007/s12033-022-00629-3 · Cited by 10
Ji, X., Huang, Z., Zhou, C., Wang, Y., Geng, D., Zhang, G.-L., Kang, Y., Cui, R., Wang, J., & Zhang, T. (2025) · Cell Biology and Toxicology · doi:10.1007/s10565-024-09975-1 · Cited by 11
Self-citationZhang, J., Ma, W., Liu, R., Li, X., Yuan, Z., & Cheng, J. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-01648 · Cited by 11
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Chen, Y., Ding, D., Tang, X., Ma, R., & Zhou, J. (2025) · Precision Clinical Medicine · doi:10.1093/pcmedi/pbaf035 · Cited by 11
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Zhao, Y. M., Zhang, Y., Meng, S., Chen, B., Dong, X., Guo, X., Guo, F., Zhang, R., Cui, H., & Li, S. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221076 · Cited by 9
Chen, H., Guo, F., Zhao, Y., Liu, W., Chen, B., Wang, C., Huang, L., Jiang, S., Ma, X., Ren, H., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1572976 · Cited by 8
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Lu, L., Shi, Y., Wei, B., Li, W., Yu, X., Zhao, Y., Yu, D., & Sun, M. (2023) · iScience · doi:10.1016/j.isci.2023.108703 · Cited by 11
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Huang, Q., Li, C., Zhang, N., Zhang, Q., Li, H., Shen, Y., Xie, L., Yu, S., & Wu, Q. (2022) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2022/2998301 · Cited by 8
Wang, Y., & Yang, Z. (2023) · Brain and Behavior · doi:10.1002/brb3.2936 · Cited by 8
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Hu, W., Xie, H., Zeng, Y., Pei, P., Zhan, X., Wang, S., & Wang, Z. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1145092 · Cited by 7
Lin, Y., Sun, Y., Hou, W., Chen, X., Zhou, F., Xu, Q., & Zheng, Y. (2024) · Journal of Dermatological Science · doi:10.1016/j.jdermsci.2024.01.001 · Cited by 8
Wang, F., Liang, Y., & Wang, Q. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01646-x · Cited by 7
Jeanrenaud, A. C. S. N., Brooke, B. D., & Oliver, S. V. (2021) · Acta Tropica · doi:10.1016/j.actatropica.2021.106259 · Cited by 8
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Li, X., Ma, B., Liao, M., Li, L., Zhang, X., Du, M., Yu, J., He, S., & Yan, H. (2022) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2707207 · Cited by 7
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Angelin, M., Gopinath, P., Raghavan, V., THARA, R., Ahmad, F., Munirajan, A. K., & Sudesh, R. (2024) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s466502 · Cited by 7
Selective neuronal vulnerability to deficits in RNA processing
Zuniga, G., & Frost, B. E. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102500 · Cited by 8
Wang, Y., Chen, C., Yan, W., & Fu, Y. (2023) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2023.106502 · Cited by 6
Self-citationWang, K., Mei, Z., Zheng, M., Liu, X., Li, D., & Wang, H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27571 · Cited by 7
Self-citationJiang, G., Yuan, L., Liu, X., Wu, H., Yu, H., Zhang, W., Zhang, S., & Huang, Y. (2024) · Ageing and Neurodegenerative Diseases · doi:10.20517/and.2024.15 · Cited by 6
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Liu, L., Zhao, Y., & Zhang, F. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.01.008 · Cited by 7
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Qu, X., Li, L., Li, Y., Chen, Y., & Chen, Y. (2025) · Genes and Immunity · doi:10.1038/s41435-025-00347-1 · Cited by 5
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Cruz, B. M. D. L., Darsinou, M., & Riccio, A. (2022) · Advances in Biological Regulation · doi:10.1016/j.jbior.2022.100926 · Cited by 7
Insights into N6-methyladenosine (m6A) modification of noncoding RNA in tumor microenvironment
Zhang, Y., Zhan, L., Li, J., Jiang, X., & Li, Y. (2023) · Aging · doi:10.18632/aging.204679 · Cited by 5
Hui, Y., Ma, Q., Zhou, X.-R., Wang, H., Dong, J., Gao, L., Zhang, T., Li, Y., & Gong, T. (2023) · Scientific Reports · doi:10.1038/s41598-023-41129-x · Cited by 5
Zhao, L., Song, D., Li, T., Li, Y., Dang, M., Hao, Q., fan, H., Lu, Z., Lu, J., Heyingwang, et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-53788-5 · Cited by 5
Regulatory roles of RNA methylation in vascular lesions in ocular and cardiopulmonary diseases
Liu, S., Cao, Y., & Zhang, Y. (2024) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2024.2370267 · Cited by 5
Jiang, L., Roberts, R., Wong, M., Zhang, L., Webber, C. J., Kilci, A., Jenkins, M., Sun, G., Rashad, S., Sun, J., et al. (2023) · Research Square · doi:10.1101/2023.03.28.534515 · Cited by 5
Libera, J., Hu, J., Hu, J., Nguyen, T.-A., Wang, Z., van der Spek, S. J. F., Schult, K., Dorrian, L., Majka, J., Tobunluepop, K., et al. (2025) · SSRN Electronic Journal · doi:10.1101/2025.05.02.651974 · Cited by 7
Wang, Y., Wu, Z., He, Y., Zeng, X., Gu, Z., Zhou, X., Si, W., & Chen, D. (2024) · Neuropeptides · doi:10.1016/j.npep.2024.102428 · Cited by 4
Self-citationm6A RNA methylation in neural plasticity, brain aging, and neurodegenerative vulnerability
Zhou, X., Yu, P., & Shen, X. (2026) · Molecular Brain · doi:10.1186/s13041-026-01297-z · Cited by 5
Programmable macromolecule-based RNA-targeting therapies to treat human neurological disorders
Morelli, K. H., Smargon, A. A., & Yeo, G. W.-M. (2023) · RNA · doi:10.1261/rna.079519.122 · Cited by 4
N6-Methyladenosine in Vascular Aging and Related Diseases: Clinical Perspectives
Li, C., Liu, L., Li, S., & Liu, Y. (2023) · Aging and Disease · doi:10.14336/ad.2023.0924-1 · Cited by 4
KIAA1429 facilitates progression of hepatocellular carcinoma by modulating m6A levels in HPN
Yu, M., Yang, W., Li, J., & Chai, W. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e22084 · Cited by 4
Yu, J., Chen, H., Ma, H., Zhang, Z., Zhu, X., Wang, P., Liu, R., Jin, X., & Zhao, Y. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.848119 · Cited by 4
Nakashima, M., Suga, N., Yoshikawa, S., Ikeda, Y., & Matsuda, S. (2024) · Genes · doi:10.3390/genes15040431 · Cited by 3
Epitranscriptomic Signatures in Neural Development and Disease
Sharma, S., & Lenka, N. (2021) · RNA technologies · doi:10.1007/978-3-030-71612-7_3 · Cited by 4
RNA Modifications in Neurodegenerations
Calzoni, E., Argentati, C., Cesaretti, A., Montegiove, N., Tortorella, I., Bazzucchi, M., Morena, F., Martino, S., & Emiliani, C. (2021) · RNA technologies · doi:10.1007/978-3-030-71612-7_2 · Cited by 5
m6A RNA Modification: Technologies Behind Future Anti-Cancer Therapy
Shpiliukova, K., Kachanov, A., Brezgin, S., Chulanov, V., Ivanov, A. V., Kostyushev, D. S., & Kostyusheva, A. (2025) · Molecules · doi:10.3390/molecules30204091 · Cited by 4
Epigenetic noise in the aging brain: tuning neuronal vulnerability to neurodegeneration
Yin, X., Zhang, H., Zhang, R., Xue, J., & Hou, Y. (2026) · Trends in Neurosciences · doi:10.1016/j.tins.2026.04.006 · Cited by 3
Metadata
- Authors
- Han, M., Liu, Z., Xu, Y., Liu, X., Wang, D., Li, F., Wang, Y., & Bi, J.
- Affiliations
- Second Hospital of Shandong University (CN)
- Shandong University (CN)
- Corresponding author
- Wang, Yun
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-02-28
- Volume
- 14
- Pages
- 98-98
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC7058666
- OpenAlex
- W3008232393
- Cited by
- 286
- References
- 29
- Citations by year
- 2026: 26 · 2025: 25 · 2024: 43 · 2023: 64 · 2022: 52 · 2021: 62 · 2020: 14
- FWCI
- 16.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- Alzheimer's disease, N6-methyladenosine, RNA methylation, APP/PS1 mice, synaptic dysfunction, hippocampus, cortex, neurodegeneration
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